Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Network communication models narrow the gap between the modular organization of structural and functional brain networks

View ORCID ProfileCaio Seguin, Sina Mansour L, Olaf Sporns, Andrew Zalesky, Fernando Calamante
doi: https://doi.org/10.1101/2022.02.18.480871
Caio Seguin
1Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
2The University of Sydney, School of Biomedical Engineering, Sydney, NSW, Australia
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Caio Seguin
  • For correspondence: caioseguin@gmail.com
Sina Mansour L
1Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
7Department of Biomedical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Olaf Sporns
3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
4Cognitive Science Program, Indiana University, Bloomington, IN, United States
5Program in Neuroscience, Indiana University, Bloomington, IN, United States
6Network Science Institute, Indiana University, Bloomington, IN, United States
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew Zalesky
1Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia
7Department of Biomedical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Fernando Calamante
2The University of Sydney, School of Biomedical Engineering, Sydney, NSW, Australia
8Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
9Sydney Imaging, The University of Sydney, Sydney, NSW, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Structural and functional brain networks are modular. Canonical functional systems, such as the default mode network, are well-known modules of the human brain and have been implicated in a large number of cognitive, behavioral and clinical processes. However, modules delineated in structural brain networks inferred from tractography generally do not recapitulate canonical functional systems. Neuroimaging evidence suggests that functional connectivity between regions in the same systems is not always underpinned by anatomical connections. As such, direct structural connectivity alone would be insufficient to characterize the functional modular organization of the brain. Here, we demonstrate that augmenting structural brain networks with models of indirect (polysynaptic) communication unveils a modular network architecture that more closely resembles the brain’s established functional systems. We find that diffusion models of polysynaptic connectivity, particularly communicability, narrow the gap between the modular organization of structural and functional brain networks by 20–60%, whereas routing models based on single efficient paths do not improve mesoscopic structure-function correspondence. This suggests that functional modules emerge from the constraints imposed by local network structure that facilitates diffusive neural communication. Our work establishes the importance of modeling polysynaptic communication to understand the structural basis of functional systems.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* caio.seguin{at}unimelb.edu.au

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted February 20, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Network communication models narrow the gap between the modular organization of structural and functional brain networks
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Network communication models narrow the gap between the modular organization of structural and functional brain networks
Caio Seguin, Sina Mansour L, Olaf Sporns, Andrew Zalesky, Fernando Calamante
bioRxiv 2022.02.18.480871; doi: https://doi.org/10.1101/2022.02.18.480871
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Network communication models narrow the gap between the modular organization of structural and functional brain networks
Caio Seguin, Sina Mansour L, Olaf Sporns, Andrew Zalesky, Fernando Calamante
bioRxiv 2022.02.18.480871; doi: https://doi.org/10.1101/2022.02.18.480871

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4850)
  • Biochemistry (10790)
  • Bioengineering (8039)
  • Bioinformatics (27280)
  • Biophysics (13970)
  • Cancer Biology (11119)
  • Cell Biology (16047)
  • Clinical Trials (138)
  • Developmental Biology (8777)
  • Ecology (13276)
  • Epidemiology (2067)
  • Evolutionary Biology (17353)
  • Genetics (11687)
  • Genomics (15914)
  • Immunology (11027)
  • Microbiology (26069)
  • Molecular Biology (10637)
  • Neuroscience (56518)
  • Paleontology (417)
  • Pathology (1731)
  • Pharmacology and Toxicology (3003)
  • Physiology (4542)
  • Plant Biology (9624)
  • Scientific Communication and Education (1614)
  • Synthetic Biology (2685)
  • Systems Biology (6975)
  • Zoology (1508)